Businesses have always relied on data to make informed decisions, but with the rise of AI text analytics, we’re now able to analyse more detailed and complex data from multiple new sources and with more accuracy than ever before. With the ability to analyse vast quantities of text data, businesses can now understand customer sentiment, identify key trends and insights, and make better decisions based on real-time market analysis.
In this blog post, we will discuss how businesses apply AI text analytics across their organisation and how you can take advantage of its capabilities.
What is AI text analytics and why is it useful?
AI text analytics is a process of using AI algorithms to extract and analyse data from text sources. Text analytics can be used for a variety of tasks such as sentiment analysis, topic detection, and even psychographics.
Product development teams use AI text analytics to track customer feedback and understand how their products are being received in the market. This information can be used to make decisions about which features to add or remove from future product releases.
For example, a team working on a new mobile app can use text analytics to track customer reviews from the Apple store, Google Play store , G2, etc. on similar apps already on the market. Using a combination of topic detection and sentiment analysis technology, they can identify areas of opportunity and make corresponding changes to the app before it is released to the public.
Marketing & PR
Marketing and PR teams can use AI text analytics to monitor social media conversations, identify influencers, and track the performance of their marketing campaigns. This information can be used to adjust marketing strategies on the fly and ensure that campaigns are aligned with customer sentiment.
For example, a team working on a social media campaign can use text analytics to track hashtags, mentions, and keywords related to their brand or product. Using sentiment analysis, they can identify negative sentiment and take steps to mitigate any potential damage to the brand.
Sales teams can use AI text analytics to identify potential leads and customers, track the competition, and understand customer needs and pain points. This information can be used to close more deals and drive revenue growth.
For example, a team working on a new sales campaign can use AI text analytics to track negative social media comments mentioning key competitors to identify potential leads and leverage common frustrations to close more deals.
Symanto psychographics also enables sales teams to identify clients’ key personality traits so that they can communicate effectively and appropriately. For example, a salesperson selling to a client with high emotionality would be more likely to close the deal if they were to show empathy and understanding.
Customer support teams can use AI text analytics to track customer queries, identify common issues, and resolve them faster. This information can be used to improve the customer experience and reduce churn.
For example, a team working on a customer support campaign can use AI text analytics to track and prioritise urgent customer queries on social media, email and CRM channels. Symanto’s emotion and sentiment detection technologies can highlight messages with strongly negative sentiment and high emotionality to help your teams ensure that distressed customers receive prompt customer care.
HR teams can use AI text analytics to identify potential employee churn, track employee engagement, and even screen job applicants. This information can be used to make better hiring decisions and improve employee satisfaction and retention.
For example, a team working on an employee engagement campaign can use text analytics to track sentiment and topics mentioned across employee review sites and internal channels.
HR teams also use psychographics from AI text analytics to screen job applicants and find the best fit for their company. Understand the workplace behaviour of potential employees and predict their future success within your organisation.
Mergers and Acquisitions
Companies can use AI text analytics to monitor market trends and understand what companies make the best candidates for a merger or acquisition.
For example, before deciding whether to partner with a company, you can use text analysis to perform due diligence checks and discover any potential red flags in their business dealings.
You can also use text analytics to monitor social media conversations and identify key opinion leaders in the industry. This information can be used to assess whether a company would be a good fit for your organisation.
AI text analytics is changing how businesses operate by providing insights that were previously unavailable. This technology can be used to monitor social media conversations, identify potential leads, track employee engagement, and understand customer needs.
Companies that employ AI text analytics and use it to its full potential will have a competitive advantage across the board.
Get Started With Symanto
Symanto is at the cutting edge of AI text analytics research and technology. We offer a suite of tools that provide deep, data-based insights for use across your business.